Abstract
The research by Dogru, Line, Hanks, Acikgoz, and colleagues explores how generative artificial intelligence (GAI) is transforming higher education and academic research in tourism and hospitality. From personalized learning to automated data analysis, GAI offers unprecedented opportunities— but also raises ethical and legal concerns. The study frames GAI as a disruptive innovation, challenging traditional models of teaching, authorship, and intellectual property. It calls for structural changes in curricula, transparent policies, and collaborative efforts to ensure responsible integration. With tools like ChatGPT already reshaping classrooms and research labs, this paper offers a timely roadmap for educators, researchers, and administrators navigating the AI revolution.
Original Article
Dogru, T., Line, N., Hanks, L., Acikgoz, F., Abbott, J. A., Bakir, S., ... & Suess, C. (2024). The implications of generative artificial intelligence in academic research and higher education in tourism and hospitality. Tourism Economics, 30(5), 1083-1094.
Recommended Citation
Dogru, Tarik; Line, Nathana; Hanks, Lydia; Acikgoz, Fulya; Abbott, Je'anna; Bakir, Selim; Berbekova, Adiyukh; Bilgihan, Anil; Iskender, Ali; Kizildag, Murat; and Lee, Minwood
(2026)
"Intelligence Unleashed: How Generative AI is Rewriting The Rules of Tourism Education and Research,"
Rosen Research Review: Vol. 6:
Iss.
1, Article 7.
Available at:
https://stars.library.ucf.edu/rosen-research-review/vol6/iss1/7
Accessibility Status
PDF accessibility verified using Adobe Acrobat Pro Accessibility Checker
Accessibility Statement
This item was created or digitized prior to April 24, 2026, or is a reproduction of legacy media created before that date. It is preserved in its original, unmodified state specifically for research, reference, or historical recordkeeping. In accordance with the ADA Title II Final Rule, the University Libraries provides accessible versions of archival materials upon request. To request an accommodation for this item, please submit an accessibility request form.

